2865 search results - page 453 / 573 » Learning Models for Object Recognition |
119
Voted
ECTEL
2007
Springer
15 years 8 months ago
2007
Springer
—This paper presents a semiautomatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology p...
136
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
126
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ICONIP
2007
15 years 3 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
118
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
114
Voted
WG
2007
Springer
15 years 7 months ago
2007
Springer
A circular-arc model M = (C, A) is a circle C together with a collection A of arcs of C. If no arc is contained in any other then M is a proper circular-arc model, if every arc has...